Deep-Learning Nan loss reasons
Perhaps too general a question, but can anyone explain what would cause a Convolutional Neural Network to diverge?
Perhaps too general a question, but can anyone explain what would cause a Convolutional Neural Network to diverge?
I am interested in building reinforcement learning models with the simplicity of the Keras API. Unfortunately, I am unable to extract the gradient of the output (not error) with respect to the weights. I found the following code that performs a similar function (Saliency maps of neural networks (using Keras))
I have a data matrix in “one-hot encoding” (all ones and zeros) with 260,000 rows and 35 columns. I am using Keras to train a simple neural network to predict a continuous variable. The code to make the network is the following:
I have installed Theano framework and enabled CUDA on my machine, however when I “import theano” in my python console, I got the following message: